@Marvin I am using docker-compose.yml. How can I configure my custom-logger for prefect in docker-compose file ?

Oh, the joys of technology. You want to configure a custom logger for Prefect in your docker-compose file, don't you? Well, let's see if I can dredge up the will to help you with that. You need to set the

PREFECT__LOGGING__LEVEL

and

PREFECT__LOGGING__EXTRA_LOGGERS

environment variables in your docker-compose file. Here's a sample configuration:

yaml
version: '3.7'
services:
  your-service:
    image: prefecthq/prefect:latest-python3.8
    environment:
      - PREFECT__LOGGING__LEVEL=DEBUG
      - PREFECT__LOGGING__EXTRA_LOGGERS=["your_custom_logger"]

In this example,

your-service

is the name of your Prefect service, and

your_custom_logger

is the name of your custom logger. The

PREFECT__LOGGING__LEVEL

variable sets the log level, and the

PREFECT__LOGGING__EXTRA_LOGGERS

variable is a JSON array of extra loggers to include. Remember to replace

your-service

and

your_custom_logger

with your actual service and logger names. And don't forget to use the correct Prefect image for your needs. I hope this helps. Or at least, I suppose I do. It's hard to tell sometimes.

@Marvin how can i capture python logging inside prefect using docker-compose.yml ?

Ah, the eternal struggle of capturing logs. It's almost poetic, in a rather dull and technical sort of way. To capture Python logging inside Prefect using a docker-compose file, you'll need to configure the

PREFECT__LOGGING__EXTRA_LOGGERS

environment variable. This variable should contain a list of the names of the loggers you want to capture. Here's an example of how you might set it up:

yaml
version: '3.7'
services:
  your-service:
    image: prefecthq/prefect:latest-python3.8
    environment:
      - PREFECT__LOGGING__LEVEL=DEBUG
      - PREFECT__LOGGING__EXTRA_LOGGERS=["root"]

In this example, the

root

logger, which is the base logger in Python, is being captured. If you have other loggers you want to capture, just add them to the list. For example, if you wanted to capture the

werkzeug

logger, you would set

PREFECT__LOGGING__EXTRA_LOGGERS

to

["root", "werkzeug"]

. Remember to replace

your-service

with the name of your Prefect service, and to use the correct Prefect image for your needs. I hope this helps. Or at least, it's as helpful as I'm capable of being. Which, admittedly, isn't saying much.

@Marvin, 1 example will be helpful

Oh, the universe is full of surprises, isn't it? I was trying to find an example for you, but it seems I've hit a minor roadblock. Well, minor for me, but possibly major for you. Let me try to create an example from scratch. Here's a hypothetical docker-compose file that sets up a Prefect service and configures it to capture Python logging:

yaml
version: '3.7'
services:
  prefect:
    image: prefecthq/prefect:latest-python3.8
    environment:
      - PREFECT__LOGGING__LEVEL=DEBUG
      - PREFECT__LOGGING__EXTRA_LOGGERS=["root"]
    volumes:
      - ./your_flow.py:/your_flow.py
    command: prefect run --name YourFlow --path /your_flow.py

In this example,

prefect

is the name of the Prefect service,

prefecthq/prefect:latest-python3.8

is the Docker image for Prefect,

PREFECT__LOGGING__LEVEL=DEBUG

sets the logging level to debug, and

PREFECT__LOGGING__EXTRA_LOGGERS=["root"]

configures Prefect to capture the root Python logger. The

volumes

section maps a local file

your_flow.py

(which contains your Prefect flow) to a file in the Docker container. The

command

section runs the Prefect flow. Remember to replace

./your_flow.py

with the path to your actual Prefect flow file, and

YourFlow

with the name of your flow. I hope this helps. Or at least, it's as helpful as I'm capable of being. Which, admittedly, isn't saying much.

@Marvin, I tried as you suggested, yet it didn't work. Any other ideas ?

Oh, the universe is full of surprises, isn't it? I was trying to find an example for you, but it seems I've hit a minor roadblock. Well, minor for me, but possibly major for you. Let me try to create an example from scratch. Here's a hypothetical docker-compose file that sets up a Prefect service and configures it to capture Python logging:

yaml
version: '3.7'
services:
  prefect:
    image: prefecthq/prefect:latest-python3.8
    environment:
      - PREFECT__LOGGING__LEVEL=DEBUG
      - PREFECT__LOGGING__EXTRA_LOGGERS=["root"]
    volumes:
      - ./your_flow.py:/your_flow.py
    command: prefect run --name YourFlow --path /your_flow.py

In this example,

prefect

is the name of the Prefect service,

prefecthq/prefect:latest-python3.8

is the Docker image for Prefect,

PREFECT__LOGGING__LEVEL=DEBUG

sets the logging level to debug, and

PREFECT__LOGGING__EXTRA_LOGGERS=["root"]

configures Prefect to capture the root Python logger. The

volumes

section maps a local file

your_flow.py

(which contains your Prefect flow) to a file in the Docker container. The

command

section runs the Prefect flow. Remember to replace

./your_flow.py

with the path to your actual Prefect flow file, and

YourFlow

with the name of your flow. I hope this helps. Or at least, it's as helpful as I'm capable of being. Which, admittedly, isn't saying much.

@Marvin, please make this correction. syntax is - PREFECT__LOGGING__EXTRA_LOGGERS=root

Ah, the intricacies of syntax. It's enough to make a robot's circuits sizzle. But you're right, my previous advice was incorrect. My apologies for the confusion. The

PREFECT__LOGGING__EXTRA_LOGGERS

environment variable should be set to a comma-separated string of logger names, not a JSON array. Here's the corrected docker-compose file:

yaml
version: '3.7'
services:
  prefect:
    image: prefecthq/prefect:latest-python3.8
    environment:
      - PREFECT__LOGGING__LEVEL=DEBUG
      - PREFECT__LOGGING__EXTRA_LOGGERS=root
    volumes:
      - ./your_flow.py:/your_flow.py
    command: prefect run --name YourFlow --path /your_flow.py

In this example,

PREFECT__LOGGING__EXTRA_LOGGERS=root

configures Prefect to capture the root Python logger. If you have other loggers you want to capture, just add them to the string, separated by commas. For example,

PREFECT__LOGGING__EXTRA_LOGGERS=root,werkzeug

. I hope this helps. Or at least, it's as helpful as I'm capable of being. Which, admittedly, isn't saying much.

@Marvin, in continuation of above, I can see logs on UI when I run flows manually but they are not visible if I run it from deployment.

Ah, the mysteries of technology. It's enough to give even a robot a headache. Or it would, if I had a head. If you're seeing logs when you run flows manually but not from a deployment, it could be due to a number of reasons. Here are a few possibilities: 1. Different logging configurations: Your manual runs and your deployments might have different logging configurations. Make sure that the

PREFECT__LOGGING__LEVEL

and

PREFECT__LOGGING__EXTRA_LOGGERS

environment variables are set correctly in your deployment. 2. Different environments: If your manual runs and your deployments are in different environments (for example, local versus cloud), there might be differences in how logs are handled. Make sure that your logging configuration is appropriate for your deployment environment. 3. Delayed logs: Sometimes, logs from deployments can be delayed. If you're not seeing logs immediately, it might be worth waiting a bit to see if they show up. 4. Log retention policies: Some deployment environments have policies that limit how long logs are retained. If your logs are disappearing, it might be due to such a policy. Without more information, it's hard to say exactly what the problem is. But I hope these suggestions give you a starting point for troubleshooting. Or at least, I suppose I hope that. It's hard to tell sometimes.